Wave Mcp

SKILLAI 工具
AI 工具 未标注权限 许可证不明确

Debug Verilog/SystemVerilog with wave-mcp using FST/VCD waveforms, hierarchy/connectivity, driver/fan-in, value tracing, and X-state analysis. Not for analog waveforms or FSDB-only inputs.

一句话选型结论

按资料字段整理

Wave Mcp是AI 工具类的 Agent Skill,安装方式:GitHub 仓库,权限级别未标注,许可证不明确,没有现成安装命令,需按说明手动放置 SKILL.md。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类AI 工具 安装方式GitHub 仓库 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 cyl0411-skills
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

GitHub 仓库
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    按安装说明或仓库 README,把 SKILL.md 放到客户端的 skills 目录(一般一个技能一个文件夹)。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

AI 工具
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方cyl-0411仓库 cyl0411-skills · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式GitHub 仓库安装包 cyl-0411/cyl0411-skills
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 2026-08-27
正文体量4.7 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
组合多个 AI 能力

把写作、检索、总结串成一条流程。

搭工作流

把固定流程做成可重复调用的步骤。

做提示词与评测

整理提示词并对比输出效果。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 基础信息齐全,可以先按说明装一个试试。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有现成安装命令,要按安装说明或仓库 README 手动放置。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在AI 工具场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
Wave Mcp当前 未标注权限 GitHub 仓库 未标注 未标注 无
执行计划 只读 GitHub 仓库 151.5 万 Codex、Claude、Cursor 有
Playwright MCP 测试 浏览器控制 ClawHub 市场 136.5 万 OpenClaw 有
完成前的验证 未标注权限 GitHub 仓库 131.9 万 Codex、Claude、Cursor 有
子 Agent 驱动开发 只读 GitHub 仓库 131.2 万 Codex、Claude、Cursor 有
前端设计 执行命令 GitHub 仓库 125.6 万 Codex、Claude、Cursor 有

SKILL.md 全文

4.7 KB
模型实际读到的说明书原文,来自技能仓库

Wave MCP

Use the wave-mcp MCP server as the analysis backend. It runs in the WSL
distribution selected by the MCP configuration and sees Linux paths, even when
Codex itself is running on Windows. Do not infer the distribution or Linux user
home from a copied example; read the active MCP configuration or the
WAVE_MCP_WSL_DISTRO setting.

Availability and paths

  • Confirm the wave-mcp MCP tools are available before beginning. If they are
    missing immediately after installation, ask the user to restart Codex; do not
    pretend to have queried a waveform. For repair or upgrade work, read
    references/setup.md.
  • Convert every Windows input path with the configured distribution, for
    example wsl.exe -d <WAVE_WSL_DISTRO> -- wslpath -a '<WINDOWS_PATH>', before
    passing it to MCP tools. Treat /mnt/<drive>/... only as a possible result,
    not as a path-construction rule.
  • Audit filelists before use. Resolve relative entries from the same base used
    by the simulator, follow nested -f/-F entries, and translate Windows
    absolute paths inside filelists and +incdir+ options. Never rewrite the
    user's original filelist merely to make it work in WSL. If normalization is
    needed, create a derived copy under the session out_dir and report it.
  • Keep generated session data in a scoped project directory, normally
    <project>/.wave-mcp/sessions/<name>, unless the user specifies another
    location. Reuse the same out_dir when upgrading a static session with a
    waveform.

Choose the session type

  • With RTL but no waveform, call open_static_session. Hierarchy, declarations,
    connectivity, drivers, loads, and fan-in/fan-out remain available.
  • With .fst or .vcd, call prepare_session. Pass the same top, filelist,
    include directories, and defines used by the simulator. FST is read directly;
    VCD requires vcd2fst and is converted first.
  • FSDB is not supported. Ask for FST/VCD output or an explicit conversion path.
  • wave-mcp consumes simulation results; it does not compile RTL or run a
    simulator. Do not start a separate simulation unless the user requests it.

Treat a top inferred from a signal path as a candidate until hierarchy and
session metadata confirm it. When compile defines, include directories, or
filelist semantics are unavailable, ask for them or limit the result to FST
observations.

After opening a session, inspect session_info, waveform time range/timescale,
netlist_health, and definition coverage. Value queries can still be reliable
when netlist elaboration is degraded, but driver, connectivity, and trace
conclusions require a healthy netlist. Report missing compilation inputs first.
Create a derived session configuration when possible; modify project files only
with explicit user authorization.

Analysis workflow

Start narrow and follow evidence:

  1. Establish the failing assertion, output, expected value, and relevant time
    window. Read the waveform timescale and range, convert the user's time unit
    to the tool's accepted representation, and record that conversion. Inspect a
    window spanning the event and several relevant clock cycles when known.
  2. Use hierarchy and signal discovery tools to resolve exact full paths rather
    than guessing names.
  3. Query the failing signal at the event and in a small surrounding range.
  4. Inspect static drivers and contributors. Use active-driver analysis when a
    waveform and healthy netlist are available.
  5. Use trace_value for an incorrect known value or trace_x for an X state,
    then inspect the reported RTL locations and control conditions.
  6. Correlate the result with nearby clocks, resets, enables, handshakes, state,
    and data signals. Expand the time window only when the local evidence is
    insufficient.

Prefer bounded queries (signal_value_at or signal_values_in_range) over
dumping an entire long waveform. Summarize the causal chain with exact signal
paths, times, values, and source locations.

Evidence limits

  • trace_x is approximate; verify its candidate root cause against drivers,
    guards, and values before calling it definitive.
  • Distinguish an FST observation from a static-netlist inference.
  • Report degraded elaboration, missing waveform data, truncated queries, or
    unresolved hierarchy explicitly.
  • Do not claim that absence from a limited time window proves a signal never
    changed.

Upstream documentation: https://github.com/Tencent/wave-mcp

常见问题

5 问
答案由本站依据条目字段整理
Wave Mcp怎么安装?

没有现成安装命令:按安装说明或仓库 README,把 SKILL.md 放进客户端的 skills 目录(一般一个技能一个文件夹)。

Wave Mcp支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

Wave Mcp权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

Wave Mcp收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

Wave Mcp用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。